Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AF174B1E050DD370B5281C5B7B63B6F7AB5C245CB020A9423F893AE57CFDA0CA1299D |
|
CONTENT
ssdeep
|
96:Tk6bknwzYtqOSTnOT98v67ZQSF7wpko+FTWXnHFXKX4X/g5ST3v+AT431:QVwzYtkq58iD7wGo3hX4ojp8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
833f017f83fe80f0 |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
48000060408000d0 |
|
VISUAL
wHash
|
00009f9f00ffcf0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0050504848504080,6060600000c000d0,0000000000000000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)